Regression & Logistic Models: Foundations with Excel & Minitab

Do you want to uncover hidden patterns in your data and make accurate predictions? Understanding regression and logistic models is crucial for data analysis and business insights. This course will equip you with the foundational knowledge and practical skills to confidently apply these models. You will learn to analyze relationships between variables, interpret statistical outputs, and use these insights to make data-driven decisions. What you'll learn: Understand the core concepts of linear and logistic regression models. Apply fundamental data preparation and cleaning techniques for effective model building. Utilize Excel's built-in tools for basic regression analysis and output interpretation. Leverage Minitab for more comprehensive regression modeling and statistical diagnostics. Interpret model coefficients, p-values, and R-squared values to draw meaningful conclusions. Understand common model assumptions and diagnostic methods to ensure model validity. Practice evaluating model performance and communicating analytical findings clearly. The course begins with essential statistical concepts, then progressively guides you through building and analyzing regression and logistic models first in Excel and then with the more powerful features of Minitab, concluding with practical exercises. This course is designed for absolute beginners with no prior experience in statistics or data modeling. No specific software or statistical background is required. Start your journey into predictive modeling and data analysis today.